Optimizing relationships information in repertory grids

"The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that could be used to infer more precise dependencies. This paper proposes an improvement to take advantage on the info...

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Detalles Bibliográficos
Autores principales: Calot, Enrique, Britos, Paola Verónica, García Martínez, Ramón
Formato: Ponencias en Congresos publishedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
INTELIGENCIA ARTIFICIAL
INGENIERIA DE SISTEMAS
ANALISIS DE REGRESION
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1430
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1430
record_format dspace
spelling I32-R138-123456789-14302022-12-07T14:13:36Z Optimizing relationships information in repertory grids Calot, Enrique Britos, Paola Verónica García Martínez, Ramón INTELIGENCIA ARTIFICIAL INGENIERIA DE SISTEMAS ANALISIS DE REGRESION "The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that could be used to infer more precise dependencies. This paper proposes an improvement to take advantage on the information that is being ignored in the current method. Furthermore, this improvement fixes several other limitations attached to the original method, such as election in a discrete set of two values as a similarity pole or a contrast pole, the arbitrary measurement of distances, the unit-scale dependency and the normalization, among others. The idea is to use linear regression to estimate the correlation between constructs and use the fitness error as a distance measure." 2019-01-18T18:54:35Z 2019-01-18T18:54:35Z 2008 Ponencias en Congresos info:eu-repo/semantics/publishedVersion 1571-5736 http://ri.itba.edu.ar/handle/123456789/1430 en info:eu-repo/semantics/reference/doi/10.1007/978-0-387-09695-7_16 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic INTELIGENCIA ARTIFICIAL
INGENIERIA DE SISTEMAS
ANALISIS DE REGRESION
spellingShingle INTELIGENCIA ARTIFICIAL
INGENIERIA DE SISTEMAS
ANALISIS DE REGRESION
Calot, Enrique
Britos, Paola Verónica
García Martínez, Ramón
Optimizing relationships information in repertory grids
topic_facet INTELIGENCIA ARTIFICIAL
INGENIERIA DE SISTEMAS
ANALISIS DE REGRESION
description "The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that could be used to infer more precise dependencies. This paper proposes an improvement to take advantage on the information that is being ignored in the current method. Furthermore, this improvement fixes several other limitations attached to the original method, such as election in a discrete set of two values as a similarity pole or a contrast pole, the arbitrary measurement of distances, the unit-scale dependency and the normalization, among others. The idea is to use linear regression to estimate the correlation between constructs and use the fitness error as a distance measure."
format Ponencias en Congresos
publishedVersion
author Calot, Enrique
Britos, Paola Verónica
García Martínez, Ramón
author_facet Calot, Enrique
Britos, Paola Verónica
García Martínez, Ramón
author_sort Calot, Enrique
title Optimizing relationships information in repertory grids
title_short Optimizing relationships information in repertory grids
title_full Optimizing relationships information in repertory grids
title_fullStr Optimizing relationships information in repertory grids
title_full_unstemmed Optimizing relationships information in repertory grids
title_sort optimizing relationships information in repertory grids
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1430
work_keys_str_mv AT calotenrique optimizingrelationshipsinformationinrepertorygrids
AT britospaolaveronica optimizingrelationshipsinformationinrepertorygrids
AT garciamartinezramon optimizingrelationshipsinformationinrepertorygrids
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